On Seeking Consensus Between Document Similarity Measures

Published 13 Feb 2017 in cs.AI | (1702.03724v1)

Abstract: This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a "complement" of Rand Index as a measure of cluster similarity, the total-separation partition, putting each element in a separate set, is chosen.

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Authors (1)

Mieczysław Kłopotek

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